{"title":"Motion sensing in mobile phone","authors":"S. U. Pacharaney, K. Reddy","doi":"10.1145/1980022.1980366","DOIUrl":null,"url":null,"abstract":"With advancement in technology and also increase in consumer requirements, mobile phones are no longer just a mere communication tool. More and more applications are embedded onto the mobile phones nowadays. Here we introduce a novel technique for handheld mobile devices which enables the user interface to be controlled by the motion of the user's hand. A feature --based approach is proposed for local motion estimation that exploits the direction in which the handheld device is moved and the phone's motion is then used to trigger some events on the phone for example photo browsing, music track changing, games control etc. Special motion sensors such as accelerometers provide a straight forward solution but require extra hardware to be installed. Today, computer vision is a more natural choice, because current mobile phones are often are often equipped with cameras that can provide visual input for estimating motion.","PeriodicalId":197580,"journal":{"name":"International Conference & Workshop on Emerging Trends in Technology","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference & Workshop on Emerging Trends in Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1980022.1980366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With advancement in technology and also increase in consumer requirements, mobile phones are no longer just a mere communication tool. More and more applications are embedded onto the mobile phones nowadays. Here we introduce a novel technique for handheld mobile devices which enables the user interface to be controlled by the motion of the user's hand. A feature --based approach is proposed for local motion estimation that exploits the direction in which the handheld device is moved and the phone's motion is then used to trigger some events on the phone for example photo browsing, music track changing, games control etc. Special motion sensors such as accelerometers provide a straight forward solution but require extra hardware to be installed. Today, computer vision is a more natural choice, because current mobile phones are often are often equipped with cameras that can provide visual input for estimating motion.